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Measurement of dengue epidemic spreading pattern using density analysis method: Retrospective spatial statistical study of dengue in subang jaya, Malaysia, 2006-2010

机译:使用密度分析方法测量登革热流行模式:马来西亚梳邦再也登革热的回顾性空间统计研究,2006-2010年

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Background: Dengue has emerged as one of the major public health problems in Malaysia. The Ministry of Health, Malaysia, is committed in monitoring and controlling this disease for many years. The objective of this study is to analyze the dengue outbreak pattern on a monthly basis in Subang Jaya in terms of their spatial dissemination and hotspot identification. Methods: Collated dengue cases data covering a 5-year period (2006-2010) retrieved from a municipal surveillance system of Subang Jaya were georeferenced and then converted into Geographical Information System format. Average nearest neighbor (ANN) analysis and kernel density (KD) estimation were used to assess the spatial dissemination of dengue cases and detect dengue hotspots, respectively. Results: The spatial patterns of dengue fever cases during the 5-year period were spatially clustered (with R values<1) based on the monthly frequency data. The hotspot map produced by the KD techniques showed a spatially diffused pattern. Conclusion: The methodologyused in the studyandthe result obtained could beuseful not only fordocumentation by epidemiologists but also for active surveillance of dengue outbreak in a locality.
机译:背景:登革热已成为马来西亚主要的公共卫生问题之一。马来西亚卫生部多年来致力于监测和控制这种疾病。这项研究的目的是就梳邦再也的登革热暴发模式在空间分布和热点识别方面进行每月分析。方法:从梳邦再也的市政监视系统中检索到的涵盖5年(2006-2010年)的登革热病例数据进行地理参考,然后转换为地理信息系统格式。平均最近邻(ANN)分析和核密度(KD)估计分别用于评估登革热病例的空间分布和检测登革热热点。结果:基于月度频率数据,对5年期间的登革热病例的空间格局进行了空间聚类(R值<1)。通过KD技术生成的热点图显示了空间扩散的模式。结论:研究中使用的方法和获得的结果不仅可用于流行病学家的文献记录,而且可用于局部监测登革热暴发。

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